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Bartroff, Jay; Finkelman, Matthew; Lai, Tze Leung – Psychometrika, 2008
After a brief review of recent advances in sequential analysis involving sequential generalized likelihood ratio tests, we discuss their use in psychometric testing and extend the asymptotic optimality theory of these sequential tests to the case of sequentially generated experiments, of particular interest in computerized adaptive testing. We…
Descriptors: Sequential Approach, Statistical Analysis, Psychometrics, Testing
Luecht, Richard M. – 2000
Computerized testing has created new challenges for the production and administration of test forms. This paper describes a multi-stage, testlet-based framework for test design, assembly, and administration called computer-adaptive sequential testing (CAST). CAST is a structured testing approach that is amenable to both adaptive and mastery…
Descriptors: Adaptive Testing, Computer Assisted Testing, Mastery Tests, Test Construction
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Roos, Linda L.; And Others – Educational and Psychological Measurement, 1996
This article describes Minnesota Computerized Adaptive Testing Language program code for using the MicroCAT 3.5 testing software to administer several types of self-adapted tests. Code is provided for: a basic self-adapted test; a self-adapted version of an adaptive mastery test; and a restricted self-adapted test. (Author/SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Mastery Tests, Programming
Luecht, Richard M. – 2003
This paper presents a multistage adaptive testing test development paradigm that promises to handle content balancing and other test development needs, psychometric reliability concerns, and item exposure. The bundled multistage adaptive testing (BMAT) framework is a modification of the computer-adaptive sequential testing framework introduced by…
Descriptors: Adaptive Testing, Computer Assisted Testing, High Stakes Tests, Mastery Tests
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Frick, Theodore W. – Journal of Educational Computing Research, 1992
Discussion of expert systems and computerized adaptive tests describes two versions of EXSPRT, a new approach that combines uncertain inference in expert systems with sequential probability ratio test (SPRT) stopping rules. Results of two studies comparing EXSPRT to adaptive mastery testing based on item response theory and SPRT approaches are…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Expert Systems